Demand Response Programs Definition Using Demand Price Elasticity to Define Consumers Aggregation for an Improved Remuneration Structure

The positioning of the consumers in the power systems operation has been changed in the recent years, namely due to the implementation of competitive electricity markets. Demand response is an opportunity for the consumers’ participation in electricity markets. Smart grids can give an important support for the integration of demand response. The methodology proposed in the present paper aims to create an improved demand response program definition and remuneration scheme for aggregated resources. The consumers are aggregated in a certain number of clusters, each one corresponding to a distinct demand response program, according to the economic impact of the resulting remuneration tariff. The knowledge about the consumers is obtained from its demand price elasticity values. The illustrative case study included in the paper is based on a 218 consumers’ scenario.

Domestic Consumption Simulation and Management Using a Continuous Consumption Management and Optimization Algorithm

The recent changes concerning the consumers’ active participation in the efficient management of load devices for one’s own interest and for the interest of the network operator, namely in the context of demand response, leads to the need for improved algorithms and tools. A continuous consumption optimization algorithm has been improved in order to better manage the shifted demand. It has been done in a simulation and user-interaction tool capable of being integrated in a multi-agent smart grid simulator already developed, and also capable of integrating several optimization algorithms to manage real and simulated loads. The case study of this paper enhances the advantages of the proposed algorithm and the benefits of using the developed simulation and user interaction tool.

Distributed energy resources scheduling considering real-time resources forecast

Energy resource scheduling is becoming increasingly important, such as the use of more distributed generators and electric vehicles connected to the distribution network. This paper proposes a methodology to be used by Virtual Power Players (VPPs), regarding the energy resource scheduling in smart grids and considering day-ahead, hour-ahead and realtime time horizons. This method considers that energy resources are managed by a VPP which establishes contracts with their owners. The full AC power flow calculation included in the model takes into account network constraints. In this paper, distribution function errors are used to simulate variations between time horizons, and to measure the performance of the proposed methodology. A 33-bus distribution network with large number of distributed resources is used.

Multiagent System Architecture for Short-term Operation of Integrated Microgrids

The forthcoming smart grids are comprised of integrated microgrids operating in grid-connected and isolated mode with local generation, storage and demand response (DR) programs. The proposed model is based on three successive complementary steps for power transaction in the market environment. The first step is characterized as a microgrid’s internal market; the second concerns negotiations between distinct interconnected microgrids; and finally, the third refers to the actual electricity market. The proposed approach is modeled and tested using a MAS framework directed to the study of the smart grids environment, including the simulation of electricity markets. This is achieved through the integration of the proposed approach with the MASGriP (Multi-Agent Smart Grid Platform) system.

Optimization of Generation and Aggregated Consumption Shifting for Demand Response Programs Definition

The concept of demand response has drawing attention to the active participation in the economic operation of power systems, namely in the context of recent electricity markets and smart grid models and implementations. In these competitive contexts, aggregators are necessary in order to make possible the participation of small size consumers and generation units. The methodology proposed in the present paper aims to address the demand shifting between periods, considering multi-period demand response events. The focus is given to the impact in the subsequent periods. A Virtual Power Player operates the network, aggregating the available resources, and minimizing the operation costs. The illustrative case study included is based on a scenario of 218 consumers including generation sources.

A Learning Algorithm and System Approach to Address Exceptional Events in Domestic Consumption Management

The integration of the Smart Grid concept into the electric grid brings to the need for an active participation of small and medium players. This active participation can be achieved using decentralized decisions, in which the end consumer can manage loads regarding the Smart Grid needs. The management of loads must handle the users’ preferences, wills and needs. However, the users’ preferences, wills and needs can suffer changes when faced with exceptional events. This paper proposes the integration of exceptional events into the SCADA House Intelligent Management (SHIM) system developed by the authors, to handle machine learning issues in the domestic consumption context. An illustrative application and learning case study is provided in this paper.

Voltage Analysis and Load Curtailment Minimization in Sub-transmission Networks with Distributed Generation

Most of distributed generation and smart grid research works are dedicated to network operation parameters studies, reliability, etc. However, many of these works normally uses traditional test systems, for instance, IEEE test systems. This paper proposes voltage magnitude and reliability studies in presence of fault conditions, considering realistic conditions found in countries like Brazil. The methodology considers a hybrid method of fuzzy set and Monte Carlo simulation based on the fuzzy-probabilistic models and a remedial action algorithm which is based on optimal power flow. To illustrate the application of the proposed method, the paper includes a case study that considers a real 12-bus sub-transmission network.

Contextual and Environmental Awareness Laboratory for Energy Consumption Management

The recent changes on power systems paradigm requires the active participation of small and medium players in energy management. With an electricity price fluctuation these players must manage the consumption. Lowering costs and ensuring adequate user comfort levels. Demand response can improve the power system management and bring benefits for the small and medium players. The work presented in this paper, which is developed aiming the smart grid context, can also be used in the current power system paradigm. The proposed system is the combination of several fields of research, namely multi-agent systems and artificial neural networks. This system is physically implemented in our laboratories and it is used daily by researchers. The physical implementation gives the system an improvement in the proof of concept, distancing itself from the conventional systems. This paper presents a case study illustrating the simulation of real-time pricing in a laboratory.

Dimensionamento de Sistemas de Compensação do Fator de Potência com Filtragem Passiva de Harmónicos

A eficiência energética tem um papel de importância crescente devido a questões ambientais e ao aumento dos custos energéticos. Recentemente foram tomadas medidas para regular o consumo e o fornecimento de energia reativa em Portugal, que tornaram mais rigorosas as condições de faturação. O custo crescente da energia e a implementação das smart grids apontam para um futuro de maior rigor sobre a utilização da energia reativa. Não será de estranhar que as regras de faturação sejam mais severas daqui a uns anos. O desenvolvimento tecnológico nas áreas da análise da energia e nas formas de controlo da compensação de energia reativa permitem resultados muito mais eficazes que aqueles apresentados pelos vulgares sistemas a contactores que constituem a maioria dos cenários. Apesar de terem um custo inicial superior, os sistemas de compensação do fator de potência com filtragem passiva de harmónicos, desde que projetados corretamente, trazem vantagens evidentes na sua exploração a longo prazo. Com este trabalho pretende-se promover a sensibilização para o uso de sistemas mais eficientes na compensação de energia reativa e para que estes sejam projetados mais à medida das necessidades de cada local. Também se demonstra a extrema importância da adequação destes sistemas à qualidade de energia do local, principalmente em termos de conteúdo harmónico. Desta forma, os sistemas serão mais flexíveis em termos de utilização e possibilitam a sua adaptação às necessidades mesmo que as regras de faturação de energia reativa se tornem mais rigorosas.

A multi-objective model for scheduling of short-term incentive-based demand response programs offered by electricity retailers

In this paper, we formulate the electricity retailers’ short-term decision-making problem in a liberalized retail market as a multi-objective optimization model. Retailers with light physical assets, such as generation and storage units in the distribution network, are considered. Following advances in smart grid technologies, electricity retailers are becoming able to employ incentive-based demand response (DR) programs in addition to their physical assets to effectively manage the risks of market price and load variations. In this model, the DR scheduling is performed simultaneously with the dispatch of generation and storage units. The ultimate goal is to find the optimal values of the hourly financial incentives offered to the end-users. The proposed model considers the capacity obligations imposed on retailers by the grid operator. The profit seeking retailer also has the objective to minimize the peak demand to avoid the high capacity charges in form of grid tariffs or penalties. The non-dominated sorting genetic algorithm II (NSGA-II) is used to solve the multi-objective problem. It is a fast and elitist multi-objective evolutionary algorithm. A case study is solved to illustrate the efficient performance of the proposed methodology. Simulation results show the effectiveness of the model for designing the incentive-based DR programs and indicate the efficiency of NSGA-II in solving the retailers’ multi-objective problem.

Älykkäät sähköverkot

Tässä diplomityössä esitellään älykkäiden sähköverkkojen ominaisuuksia. Tavoitteena on selvittää, millaisia hyötyjä sähköverkkojen uudistamisella voidaan saavuttaa. Lisäksi työssä selvitetään syitä, jotka ovat ajaneet sähköverkkojen uudistamiseen. Älykäs sähkönmittaus on tärkeä osa älykkäitä sähköverkkoja, ja työssä on esitelty älykkäiden sähkömittareiden tilannetta eri maissa. Diplomityö selvittää myös hajautetun pientuotannon roolia sähköntuotannossa. Työn loppupuolella on esitelty muutama smart grid -projekti Euroopasta. Projektit valittiin Euroopasta, koska smart grids on oleellinen tekijä Euroopan komission 20/20/20 -tavoitteessa. Molemmat projektit kulminoituvat täysin älykkään sähkönmittauksen liittämiseen osaksi kuluttajien sähkönmittausta. Esimerkkien avulla nähdään, millaisella aikataululla älykkäitä sähköverkkoja saadaan aikaan ja kuinka suuria verkostokokonaisuuksia tulevaisuuden sähköverkot ovat.

Tuulivoiman verkkomääräykset Euroopassa ja Yhdysvalloissa sekä niiden kehittyminen tulevaisuudessa älykkäiden sähköverkkojen kannalta

Tuulivoimatekniikan nopea kehitys on lisännyt tuulivoimakapasiteetin määrää sähköverkoissa. Eri maiden siirtoverkko-operaattorit ovatkin julkaisseet tuulivoimaloille omat verkkomääräyksensä. Työssä tutkitaan tuulivoimaloiden tekniikkaa, eri maiden verkko-operaattoreiden asettamia verkkomääräyksiä tuulivoimalle sekä arvioidaan näiden kehitystä tulevaisuudessa. Tutkittaviksi alueiksi on valittu maita, joiden siirtoverkot ovat rakenteeltaan erilaisia ja joissa tuulivoimaloille asetetut vaatimukset sekä asennetun tuulivoimakapasiteetin määrät vaihtelevat. Verkkomääräyksiä käsitellessä on keskitytty vain tärkeimpiin teknisiin vaatimuksiin. Eri verkkomääräykset eroavat toisistaan rakenteeltaan sekä vaatimuksiltaan ja ne ovat tiukentuneet tuulivoiman osuuden kasvaessa kokonaisenergiantuotannosta. Tämä on vaikeuttanut sähköverkoissa toimivien osapuolien operointia. Verkkomääräyksien harmonisoinnille ja kehittämiselle onkin tarvetta verkon kaikkien osapuolien toimintaedellytyksien parantamiseksi. Tuulivoimaloiden sisältämän tehoelektroniikan ja älykkäiden sähköverkkojen kehityksen myötä voidaan tuulivoimalla saavuttaa myös monia etuja esimerkiksi muihin tuotantotapoihin verrattuna.

Hajautetun tuotannon verkkoonliittäminen - verkkokoodit ja käytännön toimet

Euroopan unionin asettamat uusiutuvan energian lisäämistavoitteet ovat kasvattaneet hajautetun tuotannon määrää Euroopassa. Eri hajautetun tuotannon verkkokoodit asettavat tuotantolaitoksille omat vaatimuksensa, mikä vaikeuttaa eri toimijoita, joten yhtenäiselle verkkokoodille on tarvetta. ENTSO-E onkin luomassa tällä hetkellä Euroopan unionille yhtenäisiä pilottiverkkokoodeja, joiden tarkoitus on myöhemmin kattaa kaikkia tuotantolaitoksia koko Euroopassa. Tämän vuoksi ENTSO-E:n verkkokoodien vaatimuksia on syytä tutkia. Tässä diplomityössä tarkastellaan hajautetun tuotannon nykyisiä ja ENTSO-E:n kehitteillä olevia verkkokoodeja. Työssä tutkitaan myös älykkäiden verkkojen ja verkkokoodien kehitystä. Verkkokoodien vertailuja suoritetaan pohjoismaisesta näkökulmasta, mutta vertailuun on otettu myös muita Euroopan maita. Tarkastelu painottuu siirto- ja jakeluverkkokoodien osalta tuulivoimalle asetettaviin vaatimuksiin. Mikrotuotannon verkkokoodien ja käytännön toimien tarkastelu keskittyy invertterin kautta verkkoonliitettäviin tuotantolaitoksiin, joissa aurinkotuotanto on merkittävin tuotantomuoto.

Sähköverkkojen käytöntuki- ja käytönvalvontajärjestelmien käyttöönotto

Käytöntuki- ja käytönvalvontajärjestelmät, eli käytönhallintajärjestelmät ovat osana sähköverkkoyhtiöiden arkea ja ilman niiden tuomaa apua sähkön jakelun valvonta ja hallinta olisi hyvin haastava tehtävä. Lisäksi käytönhallintajärjestelmät moitteeton toi-miminen tarjoaa hyvän alustan kehittää tulevaisuuden tärkeitä hankkeita kuten Smart Grid konseptia. Tässä työssä tarkastellaan käytönhallintajärjestelmien käyttöönottoa, kuinka se voidaan toteuttaa ja mitä asioita pitää ottaa huomioon käyttöönoton eri vaiheissa. Käytönhallintajärjestelmien käyttöönotto suoritettiin Lappeenrannan teknillisen yliopiston sähkömarkkinalaboratoriossa sijaitsevalla verkkosimulaattorille, johon asennettiin MicroSCADA SYS 600 9.1 käytönvalvontajärjestelmä sekä DMS 600 4.2 käytöntukijärjestelmä.

Integration of microgrids into electricity distribution networks

Existing electricity distribution system is under pressure because implementation of distributed generation changes the grid configuration and also because some customers demand for better distribution reliability. In a short term, traditional network planning does not offer techno-economical solutions for the challenges and therefore the idea of microgrids is introduced. Islanding capability of microgrids is expected to enable better reliability by reducing effects of faults. The aim of the thesis is to discuss challenges in integration of microgrids into distribution networks. Study discusses development of microgrid related smart grid features and gives estimation of the guideline of microgrid implementation. Thesis also scans microgrid pilots around the world and introduces the most relevant projects. Analysis reveals that the main focus of researched studies is on low voltage microgrids. This thesis extends the idea to medium voltage distribution system and introduces challenges related to medium voltage microgrid implementation. Differences of centralized and distributed microgrid models are analyzed and the centralized model is discovered to be easiest to implement into existing distribution system. Preplan of medium voltage microgrid pilot is also carried out in this thesis.