Optimal and economic operational strategies in electric power systems

我们使用先进的优化、估计和计算智能技术来处理解除管制的电力系统和相关领域的最优和经济运行。我们使用计算智能工具扩展了我们早期的创新，包括群体智能代理和增强的神经和模糊技术。我们所面对的电力系统环境具有竞争性的开放传输和可能的配电接入环境，其中存在许多未探索的运营策略。我们研究了有功和无功定价的最佳机制，以及在尊重环境和安全约束的情况下分配给电力供应质量的辅助服务。我们制定并解决具有多种传输、发电和配电资产所有权的系统的短期最优运行问题，使电力市场参与者能够做出有根据的决策。我们建议提高输配电系统的负荷和市场清算价格（MCP）预测和最优模型参数估计能力，以提高计算效率和提高准确性。我们处理短期和长期负荷和MCP预测。我们还处理成本和性能模型估计中未解决的问题。我们处理的配电系统旨在通过优化部署固定电容器和基于fact的无功装置来减少一次馈线系统的损耗。一个未开发的领域涉及分布式和嵌入式发电资产对传统配电系统的有益影响和影响。这一研究将提高电力系统参与者的经济节约，并增强涉及环境影响、服务连续性和电力质量的社会福利功能。加拿大电力工业对高技能人才的需求正在复苏，这项研究将在这方面有所帮助。

We treat optimal and economic operation of deregulated electric power systems and related areas using advanced optimization, estimation, and computational intelligence techniques. We extend our earlier innovations using computational intelligence tools, by including swarm intelligent agents and enhanced neural and fuzzy technologies. We deal with a power system environment with competitive open transmission and possibly distribution access environment where many unexplored operational strategies exist. We research optimal mechanisms for pricing active and reactive power and ancillary services assigned to quality of power supply while respecting environmental and security constraints. We formulate and solve short-range optimal operational problems for systems with multiple ownerships of transmission, generation and distribution assets to allow power market participants to make well-founded decisions. We propose to enhance load and market clearing price (MCP) forecasting and optimal model parameter estimation capabilities for transmission and distribution systems to improve computational efficiencies along with improved accuracy. We deal with short and long term load and MCP forecasts. We also treat unresolved issues in cost and performance model estimation. We deal with distribution system aiming to reduce losses in primary feeder systems by optimal deployment of fixed capacitors and FACTs-based reactive devices. A non-explored area deals with the beneficial effects and impact of distributed and embedded generation assets on the conventional distribution system.   This research will improve economic savings for power system participants, and enhance social welfare functions involving environmental impacts and continuity of service and quality of power. Canadian electric power industry is enjoying a resurgence of requirements for highly skilled personnel and this research will help in this direction.